phData

data stack

Sr.MachineLearningArchitect

LATAM - Remote Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr. Machine Learning Architect at phData. Skills: Machine Learning, Data Solutions, MLOps, Cloud Platforms. Lead architecture and implementation of ML solutions. Collaborate with clients and teams”

What You'll Achieve.

Realize tangible business value from their data; Advance phData’s delivery excellence; Deliver measurable business value for clients

Industry & Context.

data stack
Problems you'll solve

Overcome toughest data challenges; Break down complex problems; Drive them through to completion

Eligibility Requirements

Flexibility to collaborate across time zones, Flexibility in working hours to support key milestones or workshops

What They're Looking For.

Must Have

proven experience deploying machine learning models in production environments, working knowledge of SQL, ability to write, debug, and optimize complex and distributed queries, Hands-on experience with one or more big data ecosystem products and languages such as Spark, Snowflake, Databricks, etc., Production experience in core data technologies and platforms (e. g. , Spark, HDFS, Snowflake, Databricks, Redshift, Amazon EMR), Complete software development lifecycle experience, including design, documentation, implementation, testing, deployment, and ongoing operations, Excellent communication and presentation skills, with previous experience working directly with internal or external customers, Experience delivering projects for external or internal clients in a professional services or consulting environment, Ability to break down complex problems into structured, actionable steps and drive them through to completion, written and verbal communication skills in English, Comfort presenting technical solutions to external clients and facilitating discussions with both technical and business stakeholders, Demonstrated ability to work effectively with distributed and cross-functional teams, including data scientists, engineers, and business stakeholders, Proven track record of taking ownership, managing multiple priorities, and delivering high-quality work with minimal supervision

Nice to Have

Experience in specific industry verticals or problem spaces where machine learning and data platforms are applied at scale (e. g. , personalization, forecasting, risk modeling, operations optimization), Hands-on experience with ecosystem technologies and cloud platforms such as Spark, Databricks, Snowflake, AWS, Azure, or GCP, experience working with ML tooling such as AWS SageMaker, Azure ML, and MLflow, experience with libraries such as TensorFlow, Keras, scikit-learn, or H2O, Prior experience working in global or remote teams and partnering across US, LATAM, and/or India, Contributions to open source technology stacks, technical communities, speaking, or writing are a plus, A Master’s or other advanced degree in data science, computer science, or a related field

What You'll Do.

Lead architecture and implementation of ML solutions

Collaborate with clients and teams

Deliver high-quality solutions

scalable environments

Extract data from source systems

Define deployment approaches

Create actionable insights

Execute operational testing strategies

Ensure solution quality and reliability

How You'll Work.

Team & Collaboration

Collaborate closely with clients, data scientists, data engineers, platform/DevOps teams; Work effectively with distributed and cross-functional teams; Partner with data scientists, engineers, and business stakeholders

Communication Scope

Excellent communication and presentation skills; Written and verbal communication skills in English; Comfort presenting technical solutions; Facilitate discussions with technical and business stakeholders

Process & Methodology

Own and drive end-to-end architecture, solution design, and delivery, Ensure engagements are delivered on time, within scope, Manage multiple priorities, Drive complex problems to completion

Full Job Description

Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean, and dbt to deliver cutting-edge services and solutions. We're committed to helping global enterprises overcome their toughest data challenges. phData is a remote-first global company with employees based in the United States, Latin America, and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership, and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results. 6x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024, 2025) Fivetran, dbt, Atlation, and AWS Partner of the Year #1 Partner in Snowflake Advanced Certifications 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc) Recognized as an award-winning workplace in the US, India, and LATAM We are looking for a Sr. Machine Learning Architect to join our Machine Learning team. In this role, you will lead the architecture and implementation of production-grade machine learning and data solutions that enable customers to realize tangible business value from their data. You will collaborate closely with clients, data scientists, data engineers, platform/DevOps teams, and practice leadership to deliver high-quality solutions and advance phData’s delivery excellence. Key Responsibilities Client Delivery Own and drive end-to-end architecture, solution design, and delivery of machine learning and data solutions for enterprise clients across diverse industries. Translate business and data science requirements into scalable technical and MLOps solutions that align with phData methodologies, standards, and best practices. Ensure engagements are delivered on time, within scope, and with measurable business value for clients. Design and create secure, scalable envi

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